Validity of the Aboriginal children's health and well-being measure: Aaniish Naa Gegii?

BACKGROUND: Aboriginal children experience challenges to their health and well-being, yet also have unique strengths. It has been difficult to accurately assess their health outcomes due to the lack of culturally relevant measures. The Aboriginal Children's Health and Well-Being Measure (ACHWM) was developed to address this gap. This paper describes the validity of the new measure. METHODS: We recruited First Nations children from one First Nation reserve in Canada. Participants were asked to complete the ACHWM independently using a computer tablet. Participants also completed the PedsQL. The ACHWM total score and 4 Quadrant scores were expected to have a moderate correlation of between 0.4 and 0.6 with the parallel PedsQL total score, domains (scale scores), and summary scores. RESULTS: Paired ACHWM and PedsQL scores were available for 48 participants. They had a mean age of 14.6 (range of 7 to 19) years and 60.4 % were girls. The Pearson's correlation between the total ACHWM score and a total PedsQL aggregate score was 0.52 (p = 0.0001). The correlations with the Physical Health Summary Scores and the Psychosocial Health Summary Scores were slightly lower range (r = 0.35 p = 0.016; and r = 0.51 p = 0.0002 respectively) and approached the expected range. The ACHWM Quadrant scores were moderately correlated with the parallel PedsQL domains ranging from r = 0.45 to r = 0.64 (p ≤ 0.001). The Spiritual Quadrant of the ACHWM did not have a parallel domain in the PedsQL. CONCLUSIONS: These results establish the validity of the ACHWM. The children gave this measure an Ojibway name, Aaniish Naa Gegii, meaning "how are you?". This measure is now ready for implementation, and will contribute to a better understanding of the health of Aboriginal children.

Community-based screening and triage connecting First Nations children and youth to local supports: a cross-sectional study.

BACKGROUND: First Nations children in Canada experience health inequities. We aimed to determine whether a self-report health app identified children's needs for support earlier in their illness than would typically occur. METHODS: Children (aged 8 to 18 yr) were recruited from a rural First Nation community. Children completed the Aaniish Naa Gegii: the Children's Health and Well-being Measure (ACHWM) and then met with a local mental health worker who determined their risk status. ACHWM Emotional Quadrant Scores (EQS) were compared between 3 groups of children: healthy peers (HP) who were not at risk, those with newly identified needs (NIN) who were at risk and not previously identified, and a typical treatment (TT) group who were at risk and already receiving support. RESULTS: We included 227 children (57.1% girls), and the mean age was 12.9 (standard deviation [SD] 2.9) years. The 134 children in the HP group had a mean EQS of 80.1 (SD 11.25), the 35 children in the NIN group had a mean EQS of 67.2 (SD 13.27) and the 58 children in the TT group had a mean EQS of 66.2 (SD 16.30). The HP group had significantly better EQS than the NIN and TT groups (p < 0.001). The EQS did not differ between the NIN and TT groups (p = 0.8). INTERPRETATION: The ACHWM screening process identified needs for support among 35 children, and the associated triage process connected them to local services; the similarity of EQS in the NIN and TT groups highlights the value of community screening to optimize access to services. Future research will examine the impact of this process over the subsequent year in these groups.

Health profiles of First Nations children living on-reserve in Northern Ontario: a pooled analysis of survey data.

BACKGROUND: The Aboriginal Children's Health and Well-Being Measure (ACHWM) was developed to enable Aboriginal health leaders to gather information on the health of children at a local community level. This paper aims to describe the typical health profiles of First Nation children living on traditional territory as a reference to assist in the interpretation of ACHWM scores. METHODS: Three First Nations in Ontario, Canada, gathered health data from children using the ACHWM administered on Android tablets between 2013 and 2015. The survey data were previously analyzed to inform local health planning. These survey data were pooled to describe the distribution of ACHWM summary and quadrant scores from a larger sample and inform interpretation of ACHWM scores. RESULTS: ACHWM data from 196 participants (aged 7.6 to 21.7 yr) across 3 communities were included in the pooled sample. ACHWM summary scores ranged from 39.8 to 98.7 with a mean of 74.1 (95% confidence interval [CI] 72.5-75.7) and a maximum of 100. Strengths were reported in the spiritual (mean 78.7, 95% CI 76.7-80.8), physical (mean 77.1, 95% CI 75.1-79.0) and emotional (mean 74.4, 95% CI 72.5-76.3) quadrants. The greatest opportunity for improvement was in the mental (cognition) quadrant (mean 61.6, 95% CI 56.9-63.4). INTERPRETATION: This paper presents initial estimates for child health scores based on self-report from a large sample of First Nations children living on reserve. These results establish benchmarks to aid interpretation of the ACHWM scores in these and other communities and contexts in the future.

Reliability of the Aboriginal Children's Health and Well-Being Measure (ACHWM).

PURPOSE: The aim of this research was to evaluate the reliability of the Aboriginal Children's Health and Well-Being Measure© (ACHWM). METHODS: Two cohorts of children from Wiikwemkoong Unceded Territory were recruited for this study. Each child completed the ACHWM independently on a computer tablet running a customized survey app. The data from the first and second cohorts were used to estimate the internal consistencies using Cronbach's alpha. A subgroup of the second cohort completed the survey twice, within the same day. The data from this subgroup was used to evaluate the test-retest reliability using a random effects Intra-class Correlation Coefficient (ICC). RESULTS: There were 124 participants in the first cohort and 132 participants in the second cohort. The repeated measures subgroup was comprised of 29 participants from the second cohort. The internal consistency statistic (Cronbach's alpha) was 0.93 for the first and second cohorts. The test-retest reliability ICC was 0.94 (95% CI 0.86-0.97) for the ACHWM summary scores based on the repeated measures subgroup. CONCLUSIONS: These results establish the internal consistency and the test-retest validity of the ACHWM. This important finding will enable Aboriginal communities to use this measure with confidence and promote the voices of their children in reporting their health. The ACHWM is an essential data gathering tool that enables evidence-based health care for Aboriginal communities.

A screening mechanism to recognize and support at-risk Aboriginal children.

OBJECTIVES: The Aboriginal Children's Health and Well-Being Measure© (ACHWM) was developed to assess health from the perspectives of Aboriginal children. The purpose of this paper is to document the screening process, embedded within the ACHWM, and assess its effectiveness. METHODS: The ACHWM was implemented in 2014/2015 with children 8 to 18 years of age living on the Wiikwemkoong Unceded Territory. Survey responses were screened to identify potential risk, using an automated algorithm run on computer tablets. Local mental health workers conducted brief mental health assessments to identify and support children at-risk. Data were analyzed to estimate effectiveness of this screening process. RESULTS: A total of 293 children completed the ACHWM. The screening tool identified 35% with potential risk. Mental health workers confirmed 18% of all participants as being at-risk, and all were referred for support. The sensitivity of the tool was 75% while specificity was 79%. Improvements to the screening algorithm resulted in a specificity of 97% and negative predictive value of 95%, with no loss of sensitivity. CONCLUSION: Responsible population health surveys require a process to recognize and respond to answers indicative of health risks. This paper provides an example of a screening and triage process that enabled our survey team to screen responses in real time, respond to potential risk immediately, and connect participants to local support services. This process proved essential to conducting an ethical survey. The high specificity and negative predictive value make it an effective triage tool that is particularly valuable in Aboriginal communities and with higher-risk populations.